Research and development auxiliary system using patent database and method thereof

Abstract

A research and development auxiliary system using a patent database and a method are provided. By loading patent documents meet a search condition, directly analyzing the loaded patent documents with an association rule algorithm according to at least one patent classification number or technical element message corresponding to each patent document to establish association rules each including the patent classification numbers or technical element messages, and an association rule strength; and then selecting the association rule with the weak or strong association rule strength, and combining the patent classification numbers or technical element messages thereof to output suggestions that aid in research and development, the technical effect that improving the practicality in applying the patent database to assist in research and development is achieved.

What is claimed is: 
     
         1 . A research and development (R&D) auxiliary system using at least one patent database, the system comprising:
 the at least one patent database, configured to store a plurality of patent documents, each patent document comprising at least one patent classification number;   a search module, configured to provide for inputting a search condition, and transmit the inputted search condition to the at least one patent database for patent search, and query the patent documents that meets the search condition;   an analysis module, configured to load the queried patent documents, and analyze the at least one patent classification number of each loaded patent documents by an association rule algorithm, and establish a plurality of association rules according to an analysis result, each of the plurality of association rules including at least two of the patent classification numbers and an association rule strength; and   a processing module, configured to select the association rule with a weak association rule strength, and combine the at least two of the patent classification numbers of the association rule with the weak association rule strength to output a derivative patent suggestion; and select the association rule with a strong association rule strength, and combine the at least two of the patent classification numbers of the association rule with the strong association rule strength to output a patent invalidation inference suggestion.   
     
     
         2 . The R&D auxiliary system according to  claim 1 , wherein the association rule algorithm is an Apriori algorithm for data mining combined with a multi-dimensional analysis or a time series analysis, and the association rule algorithm is used to analyze the patent classification numbers of the loaded patent documents. 
     
     
         3 . The R&D auxiliary system according to  claim 1 , wherein the association rule strength of each association rule is adjusted according to a number of times that the at least two patent classification numbers included in each association rule simultaneously appears in the patent documents loaded, wherein the number of times is positively correlated with the association rule strength. 
     
     
         4 . The R&D auxiliary system according to  claim 1 , wherein the R&D auxiliary system further includes an establishing module, configured to use the at least two patent classification numbers of each association rule as the search condition, and download the patent documents corresponding to the search condition from the at least one patent database, and sort and store the downloaded patent documents according to different patent classification numbers of each association rule to form a technical element library. 
     
     
         5 . An R&D auxiliary method using at least one patent database, comprising following steps:
 storing a plurality of patent documents in the at least one patent database, each patent document including at least one patent classification number;   providing for inputting a search condition, and transmitting the inputted search condition to the at least one patent database for patent search, and querying the patent documents that meets the search condition;   loading the queried patent documents, and analyzing the patent classification numbers of the loaded patent documents by an association rule algorithm, and establishing a plurality of association rules according to an analysis result, each of the plurality of association rules including at least two of the patent classification numbers and an association rule strength; and   selecting the association rule with a weak association rule strength, and combining the at least two of the patent classification numbers of the association rule with the weak association rule strength to output a derivative patent suggestion; and selecting the association rule with a strong association rule strength, and combining the at least two of the patent classification numbers of the association rule with the strong association rule strength to output a patent invalidation inference suggestion.   
     
     
         6 . The R&D auxiliary method according to  claim 5 , wherein the R&D auxiliary method further comprises the steps of: using the at least two of patent classification numbers of each association rule as the search condition; downloading the patent documents corresponding to the search condition from the at least one patent database; and sorting and storing the downloaded patent documents according to different patent classification numbers of each association rule to form a technical element library. 
     
     
         7 . An R&D auxiliary system using at least one patent database, the system comprising:
 the at least one patent database, configured to store a plurality of patent documents;   a search module, configured to provide for inputting a search condition, and transmit the inputted search condition to the at least one patent database for patent search, and query the patent documents that meets the search condition;   an analysis module, configured to load the queried patent documents, and perform a natural language processing and a semantic analysis on contents of each patent document loaded, and generate at least one technical element message corresponding to each patent document according to text mining;   an association module, configured to perform an association rule algorithm to analyze all the generated technical element messages, and establish a plurality of association rules according to an analysis result, wherein each association rule includes at least two of the technical element messages and an association rule strength; and   a processing module, configured to select the association rule with a weak association rule strength, and combine the at least two of the technical element messages of the association rule with the weak association rule strength to output a patentable R&D suggestion; and select the association rule with a strong association rule strength, and combine the at least two of the technical element messages of the association rule with the strong association rule strength to output a patent invalidation inference suggestion.   
     
     
         8 . The R&D auxiliary system according to  claim 7 , wherein the R&D auxiliary system further includes an establishing module, configured to sort and store the loaded patent documents according to at least one patent classification number of each patent document loaded to form a technical element library. 
     
     
         9 . An R&D auxiliary method using at least one patent database, comprising following steps:
 storing a plurality of patent documents in the at least one patent database;   providing for inputting a search condition, and transmitting the inputted search condition to the at least one patent database for patent search, and querying the patent documents that meets the search condition;   loading the queried patent documents, and performing a natural language processing and a semantic analysis on contents of each patent document loaded, and generating at least one technical element message corresponding to each patent document according to text mining;   performing an association rule algorithm to analyze all the generated technical element messages, and establishing a plurality of association rules according to an analysis result, wherein each association rule includes at least two of the technical element messages and an association rule strength; and   selecting the association rule with a weak association rule strength, and combining the at least two of the technical element messages of the association rule with the weak association rule strength to output a patentable R&D suggestion; and selecting the association rule with a strong association rule strength, and combining the at least two of the technical element messages of the association rule with the strong association rule strength to output a patent invalidation inference suggestion.   
     
     
         10 . The R&D auxiliary method according to  claim 9 , wherein the R&D auxiliary method further comprises the step of: sorting and storing the loaded patent documents according to at least one patent classification number of each patent document loaded to form a technical element library.